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Proceedings Paper

Estimation of surface shape from endoscopic image sequence
Author(s): Norihiko Oda; T. Nonami; Masahiro Yamaguchi; Nagaaki Ohyama; Toshio Honda
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Paper Abstract

In this paper, an approach is presented for 3-D surface shape estimation from monocular endoscopic images. The algorithms uses image sequence that are taken by shifting camera. In the first stage, the camera movements are estimated and the surface shape is roughly estimated by a method that is similar to stereo vision. In the second stage, the surface shape is refined by a multiview method. This multiview system selects several images from the image sequence and determines the corresponding view positions. Since each view contains noise, the algorithm solves for the depth distribution by minimizing an energy function such that all regions of several images are matched as close as possible in a least square sense while a smoothness constraint is applied on the solution. The contribution ratio of each view to the estimation is controlled by a weighting function that is decided depending on the geometric relationship between the surface point and each viewpoint. Principle of the method and experimental results are presented.

Paper Details

Date Published: 14 September 1993
PDF: 8 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154574
Show Author Affiliations
Norihiko Oda, Tokyo Institute of Technology (Japan)
T. Nonami, Olympus Optical Co., Ltd. (Japan)
Masahiro Yamaguchi, Tokyo Institute of Technology (Japan)
Nagaaki Ohyama, Tokyo Institute of Technology (Japan)
Toshio Honda, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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